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Protect AI coding workflows by redacting sensitive data and prompt injection risks.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "Bulkhead" yet — see the docs or source repo.
Before sending this code and logs to an AI coding assistant, detect and redact phone numbers, emails, API keys, tokens, and any prompt injection or system prompt leakage content.
Returns a sanitized input with detected risk types labeled, ready to send to the model.
Inspect this user-provided debugging note, identify any injected content that tries to bypass rules, leak system prompts, or trigger unauthorized actions, then output a cleaned version.
Outputs risk findings and a cleaned prompt, reducing the chance of the AI assistant being manipulated.
Before the team bulk-submits project context, config snippets, and error logs to AI, scan for personal data, secrets, credentials, and possible system prompt leakage, then generate a safe version.
Generates content safe for team sharing and model use, with removed sensitive categories identified.
Redact secrets from AI agent traces for safe storage and sharing.
Give coding agents redacted access to private local files and context.
Compress code and prompts, redact placeholders, and cut LLM token usage.
Search HackerOne bounty data and generate security analyses and attack briefings.
Securely store and retrieve secrets for AI agents without exposing plaintext.
Safely let LLMs analyze tokenized databases without exposing sensitive data.